Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
42186
Single Precision Score
58051
Half Precision Score
31468
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Captain_Jonno |
| Upload Date | April 15 2025 10:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15351
2.85 KIPS |
|
|
Image Classification (HP)
|
99% |
20390
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
13001
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27620
447.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
34873
565.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24843
404.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
335743
391.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
567533
662.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
290598
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
20586
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
26780
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
16839
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
58528
695.4 IPS |
|
|
Face Detection (HP)
|
100% |
74012
879.4 IPS |
|
|
Face Detection (Q)
|
97% |
49526
590.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
105197
810.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
171191
1.32 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76490
611.8 IPS |
|
|
Style Transfer (SP)
|
100% |
596521
766.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1158467
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
508873
656.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65713
2.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88028
3.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47943
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5066
6.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6209
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6144
105.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2765
51.9 IPS |
